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ACL
2012
13 years 6 months ago
Head-driven Transition-based Parsing with Top-down Prediction
This paper presents a novel top-down headdriven parsing algorithm for data-driven projective dependency analysis. This algorithm handles global structures, such as clause and coor...
Katsuhiko Hayashi, Taro Watanabe, Masayuki Asahara...
ACL
2008
15 years 5 months ago
Semi-Supervised Convex Training for Dependency Parsing
We present a novel semi-supervised training algorithm for learning dependency parsers. By combining a supervised large margin loss with an unsupervised least squares loss, a discr...
Qin Iris Wang, Dale Schuurmans, Dekang Lin
DAARC
2007
Springer
87views Algorithms» more  DAARC 2007»
15 years 10 months ago
Using Very Large Parsed Corpora and Judgment Data to Classify Verb Reflexivity
Erik-Jan Smits, Petra Hendriks, Jennifer Spenader
IJCAI
2007
15 years 5 months ago
A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning
In recent years, metric learning in the semisupervised setting has aroused a lot of research interests. One type of semi-supervised metric learning utilizes supervisory informatio...
Dit-Yan Yeung, Hong Chang, Guang Dai
ACL
2010
15 years 1 months ago
Top-Down K-Best A* Parsing
We propose a top-down algorithm for extracting k-best lists from a parser. Our algorithm, TKA is a variant of the kbest A (KA) algorithm of Pauls and Klein (2009). In contrast to ...
Adam Pauls, Dan Klein, Chris Quirk